Diabetes Education and News

Data by Geography Training
Data by Geography Training

Data by Geography Training

HRSA’s mission is to improve health and achieve health equity through access to quality services, a skilled health workforce, and innovative programs. This video provides an overview of how to utilize the Data by Geography tool that helps outline HRSA’s investments nationwide or by a geographic area, including: HHS region, state, county, congressional district, and ZIP Code.
Snomed CT
Snomed CT

Snomed CT

From the SNOMED website: SNOMED CT (Systematized Nomenclature of Medicine--Clinical Terms) is a comprehensive clinical terminology, originally created by the College of American Pathologists (CAP) and, as of April 2007, owned, maintained, and distributed by the International Health Terminology Standards Development Organisation (IHTSDO), a not-for-profit association in Denmark. The CAP continues to support SNOMED CT operations under contract to the IHTSDO and provides SNOMED-related products and services as a licensee of the terminology.

Data Aggregation - A Primer
Data Aggregation - A Primer

Data Aggregation - A Primer

From the original article introduction: Healthcare is in the midst of a profound business model change. And we are all aware that the old model of “fee-for-service” medicine is over, and a new model is quickly emerging. On December 12, 2013, the Dartmouth Institute for Health Policy and Clinical Practice published the first real evidence that the management of the patient across the continuum of care can bend the cost curve of our ever- aging population. The new shared savings model that has developed is designed to deliver seamless, high-quality care for patients, replacing the fragmented care that we see in the fee-for-service payment system. In the fee-for-service model, different providers receive different, disconnected payments. But the new model is designed to maintain a patient-centered focus by developing processes to promote evidence-based medicine, patient engagement, and report on quality. To deliver on that promise, health systems need greatly enhanced data aggregation tools; however, it is difficult to evaluate these tools, and many do not understand how the system needs translate into data requirements. This article is designed to present some of those issues in context.

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